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comfyui-workflows/models/minimax/minimax-h3-turbo-lora-community/README.md
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# MiniMax H3 Turbo LoRA Community Workflow
## Summary
Community `MiniMax H3` turbo LoRA workflow intended to cut step count and generation time dramatically compared with the standard MiniMax path.
## Model Family
- `minimax`
## Status
- `imported-only`
## Source
- Community repo page: <https://huggingface.co/drbaph/MiniMax-H3-Turbo-Lora-ComfyUI>
- Workflow file: <https://huggingface.co/drbaph/MiniMax-H3-Turbo-Lora-ComfyUI/resolve/main/fl_minimax_h3_turbo_lora_example_workflow.json?download=true>
- Original LoRA project credited by the maintainer: <https://huggingface.co/larryvrh/MiniMax-H3-Turbo-Lora>
- Original publisher of compatibility conversion: `drbaph`
- Date imported: `2026-08-08`
## Developer notes
- The maintainer says this repo contains ComfyUI compatibility conversions of the original Turbo LoRA so it works with the pruned/curve-form MiniMax model in ComfyUI.
- Recommended checkpoint: `minimax_h3_turbo_v4_step600_ema_pruned_comfyui.safetensors`
- Recommended settings:
- `8` steps
- `euler`
- `beta`
- LoRA strength `1.0`
- Video sigma shift `12`
- Audio sigma shift `4-6`
- The repo explicitly positions this as a much lower-step route than standard MiniMax generation.
## Our notes
- This is the most interesting MiniMax import for a `3070` because low-step operation is exactly the kind of optimization you need.
- Still likely tight, but much more realistic than brute-forcing full standard MiniMax settings.
- This is the first MiniMax workflow I would actually try for local feasibility after the official baseline is understood.
## Required custom nodes
- MiniMax-compatible Comfy support
- `ComfyUI-KJNodes`-style preview/attention helpers appear in the graph
- optional acceleration hooks referenced in the source include SageAttention, Sol Attention, Gradient, and Spectrum
## Notes
- Best MiniMax low-step candidate in the current batch.
- Strong contender for a future `optimized/text-to-video/` or `optimized/image-to-video/` MiniMax master if it performs well enough on your machine.